
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE				:int									=							{
    'configuration_mobilebert': [
        'MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileBertConfig',
        'MobileBertOnnxConfig',
    ],
    'tokenization_mobilebert': ['MobileBertTokenizer'],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE				:Dict									=							['MobileBertTokenizerFast']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE				:Union[str, Any]									=							[
					    'MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'MobileBertForMaskedLM',
					    'MobileBertForMultipleChoice',
					    'MobileBertForNextSentencePrediction',
					    'MobileBertForPreTraining',
					    'MobileBertForQuestionAnswering',
					    'MobileBertForSequenceClassification',
					    'MobileBertForTokenClassification',
					    'MobileBertLayer',
					    'MobileBertModel',
					    'MobileBertPreTrainedModel',
					    'load_tf_weights_in_mobilebert',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE				:List[str]									=							[
					    'TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'TFMobileBertForMaskedLM',
					    'TFMobileBertForMultipleChoice',
					    'TFMobileBertForNextSentencePrediction',
					    'TFMobileBertForPreTraining',
					    'TFMobileBertForQuestionAnswering',
					    'TFMobileBertForSequenceClassification',
					    'TFMobileBertForTokenClassification',
					    'TFMobileBertMainLayer',
					    'TFMobileBertModel',
					    'TFMobileBertPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_mobilebert import (
					    MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    MobileBertConfig,
					    MobileBertOnnxConfig,
					)
					from .tokenization_mobilebert import MobileBertTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mobilebert_fast import MobileBertTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mobilebert import (
										    MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MobileBertForMaskedLM,
										    MobileBertForMultipleChoice,
										    MobileBertForNextSentencePrediction,
										    MobileBertForPreTraining,
										    MobileBertForQuestionAnswering,
										    MobileBertForSequenceClassification,
										    MobileBertForTokenClassification,
										    MobileBertLayer,
										    MobileBertModel,
										    MobileBertPreTrainedModel,
										    load_tf_weights_in_mobilebert,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_mobilebert import (
										    TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFMobileBertForMaskedLM,
										    TFMobileBertForMultipleChoice,
										    TFMobileBertForNextSentencePrediction,
										    TFMobileBertForPreTraining,
										    TFMobileBertForQuestionAnswering,
										    TFMobileBertForSequenceClassification,
										    TFMobileBertForTokenClassification,
										    TFMobileBertMainLayer,
										    TFMobileBertModel,
										    TFMobileBertPreTrainedModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE				:Optional[Any]									=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




__UpperCamelCase     		=							2_5_6
# Modulus to hash a string
__UpperCamelCase     		=							1_0_0_0_0_0_3
def 							UpperCamelCase_(					_A :str					,  _A :str	)->		bool:
			UpperCamelCase__       =							len(_A	)
			UpperCamelCase__       =							len(_A	)
			if p_len > t_len:
						return False

			UpperCamelCase__       =							0
			UpperCamelCase__       =							0
			UpperCamelCase__       =							1

			# Calculating the hash of pattern and substring of text
			for i in range(_A	):
						UpperCamelCase__       =							(ord(pattern[i]	) + p_hash * alphabet_size) % modulus
						UpperCamelCase__       =							(ord(text[i]	) + text_hash * alphabet_size) % modulus
						if i == p_len - 1:
									continue
						UpperCamelCase__       =							(modulus_power * alphabet_size) % modulus

			for i in range(0					,  t_len - p_len + 1	):
						if text_hash == p_hash and text[i : i + p_len] == pattern:
									return True
						if i == t_len - p_len:
									continue
						# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
						UpperCamelCase__       =							(
						    (text_hash - ord(text[i]	) * modulus_power) * alphabet_size
						    + ord(text[i + p_len]	)
						) % modulus
			return False
def 							UpperCamelCase_(					)->		None:
			UpperCamelCase__       =							"abc1abc12"
			UpperCamelCase__       =							"alskfjaldsabc1abc1abc12k23adsfabcabc"
			UpperCamelCase__       =							"alskfjaldsk23adsfabcabc"
			assert rabin_karp(_A					,  _A	) and not rabin_karp(_A					,  _A	)

			# Test 2)
			UpperCamelCase__       =							"ABABX"
			UpperCamelCase__       =							"ABABZABABYABABX"
			assert rabin_karp(_A					,  _A	)

			# Test 3)
			UpperCamelCase__       =							"AAAB"
			UpperCamelCase__       =							"ABAAAAAB"
			assert rabin_karp(_A					,  _A	)

			# Test 4)
			UpperCamelCase__       =							"abcdabcy"
			UpperCamelCase__       =							"abcxabcdabxabcdabcdabcy"
			assert rabin_karp(_A					,  _A	)

			# Test 5)
			UpperCamelCase__       =							"Lü"
			UpperCamelCase__       =							"Lüsai"
			assert rabin_karp(_A					,  _A	)
			UpperCamelCase__       =							"Lue"
			assert not rabin_karp(_A					,  _A	)
			print("Success."	)


if __name__ == "__main__":
						test_rabin_karp()


